CAJ | 학술논문

针对跟踪雷达的三种常见欺骗干扰，提出了一种基于积谱矩阵( SPM)局部二值模式( LBP)的识别算法。首先，计算雷达接收信号不同脉冲重复周期( PRI )的积谱，并将其按照频域和慢时域排列成一个二维积谱矩阵。然后，将图像处理的纹理特征引入到欺骗干扰识别的算法中，采用局部二值模式提取二维积谱矩阵的灰度图像特征。最后，通过仿真实验验证了算法的正确性，当雷达接收信号的信噪比( SNR)大于5 dB时，该欺骗干扰识别算法的平均识别概率优于90%。
침대근종뢰체적삼충상견기편간우，제출료일충기우적보구진( SPM)국부이치모식( LBP)적식별산법。수선，계산뢰체접수신호불동맥충중복주기( PRI )적적보，병장기안조빈역화만시역배렬성일개이유적보구진。연후，장도상처리적문리특정인입도기편간우식별적산법중，채용국부이치모식제취이유적보구진적회도도상특정。최후，통과방진실험험증료산법적정학성，당뢰체접수신호적신조비( SNR)대우5 dB시，해기편간우식별산법적평균식별개솔우우90%。
A recognition algorithm is proposed based on the local binary pattern( LBP) of the product spec-trum matrix( SPM) against the major three types of deception jamming of tracking radar. Firstly,the prod-uct spectral of the radar received signal in the different pulse repetition interval( PRI) is calculated,and the product spectral of frequency-slow time is arranged into a two-dimensional SPM. Secondly,the texture features of image processing are introduced into the deception jamming recognition algorithm,and the LBP is used to extract the gray image texture characteristics of the two-dimensional SPM. Finally,the experi-mental results show that the average recognition accuracy of the proposed deception jamming algorithm is higher than 90% when the signal-to-noise ratio( SNR) is greater than 5 dB.